Find Linked Datasets of your interest with LODAtlas

In October 2018, the 1.0 version of LODAtlas was released as an open source project under GNU General Public License v3.0. The LODAtlas' source code is hosted on GitLab. LODAtlas was developed by project-team ILDA at InriaCNRS and Université Paris-Sud; with contributions from project-team CEDAR (RDFQuotients). 

"In an increasing number of domains, computer users are faced with large datasets, that are often interlinked and organized according to elaborate structures thanks to new data models such as those that are arising with the development of, e.g., the Web of Data. Rather than seeing the inherent complexity of those data models as a hindrance, we aim at leveraging it to design new interactive systems that can better assist users in their data understanding and processing tasks" (Ilda at Inria).

LODATLAS IS...

LODAtlas is a Web tool that helps users find linked datasets of interest through faceted browsing + keyword & URI search on the datasets' metadata and their schema-level content.

The LODAtlas tool provides a set of interactive visualization widgets that help compare datasets along different criteria:

Users can also get an idea of the contents of a given dataset thanks to a visual summary of the statements it contains.

LODAtlas takes as input CKAN dataset descriptions and the LODAtlas instance gives access to:

LODAtlas instances can be set up by anyone, using CKAN-compliant linked dataset descriptions. LODAtlas is available as a Docker image, or can be compiled locally.

LODATLAS DATA PROCESSING COMPRISES THE FOLLOWING STEPS:

  1. Download the metadata describing linked datasets from the CKAN repository;
  2. Download the associated RDF dump files (when available);
  3. Process the dump files using LODStats to extract classes, properties and vocabularies;
  4. Process dump files together with schema/ontology files using the RDF Quotients framework to generate visual summaries of the dumps’ contents.

LODAtlas REST API provides programmatic access to most of the data that can be visualized.

DISCOVER LODATLAS' DATASETS & SUBMIT YOUR DATASETS HERE

*** A talk about LODAtlas was given at ISWC 2018  (full paper available here) ***

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And, thanks again for your interest ! 

 


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